Remove IT Remove Metrics Remove Slice and Dice
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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. Ultimately, it will provide a clear insight into relevant KPIs and build a solid foundation for increasing conversions. How do you know that? Or drastically change for another path?

Reporting 280
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Know Your Data Ingredients

Juice Analytics

1) Separate your metrics from your dimensions. Metrics are the data values that measure performance. The metrics are often the stars of the show ( Metrics are the Characters of Data Stories ) — like the proteins of your dishes. These are the ways you slice and dice your metrics.

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations.

Metrics 87
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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. A very special type of metric is designated to be a Key Performance Indicator (KPI).

Analytics 151
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5 tips for excelling at self-service analytics

CIO Business Intelligence

Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. As soon as one metric is not accurate it is hard to get the buy-in again, so routinely confirming accuracy on all analytics is extremely important.”

Analytics 137
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Data Storytelling: What's Easy and What's Hard

Juice Analytics

Putting data on a screen is easy. Making it meaningful is so much harder. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.